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Oracle 1Z0-1163-1 Prüfungsplan:

Thema
Einzelheiten

Thema 1

Oracle Cloud Success Navigator & Oracle Cloud Quality Standards: This section evaluates the skills of Cloud Implementation Managers in leveraging Oracle Cloud Success Navigator and Quality Standards for cloud adoption. It explains how best practices are embedded into Oracle Cloud Applications and applied using Starter Configuration. Candidates will understand how to optimize cloud performance and ensure successful deployments following Oracle’s quality guidelines.

Thema 2

OMBPs for Innovation: This section evaluates the expertise of Supply Chain Innovation Analysts in leveraging SCM Innovation modules. It focuses on understanding the functionalities that drive product development and improving time-to-market. Candidates will explore key design considerations, best practices, and performance metrics that ensure faster product launches and enhanced innovation processes.

Thema 3

OMBPs for Procurement: This section tests the abilities of Procurement Specialists in managing procurement operations within Oracle Cloud Applications. It covers the flow of procurement processes, integration points with other SCM modules, and best practices for improving procurement efficiency. Candidates will gain insights into the key metrics used to evaluate procurement performance and cost-effectiveness.

Thema 4

OMBPs for Logistics: This section tests the expertise of Logistics Coordinators in optimizing logistics and transportation management within Oracle Cloud Applications. It covers the process flows, best practices for logistics operations, and integration of different logistics modules. Candidates will understand performance metrics that impact supply chain visibility, efficiency, and customer satisfaction.

Thema 5

Oracle Cloud Applications and Oracle Modern Best Practice (OMBP): This section of the exam measures the skills of Cloud Application Consultants in understanding Oracle Cloud Applications and their capabilities. It covers the key offerings within the Oracle Cloud ecosystem and highlights the features of the Oracle SCM suite. Candidates will learn about data flow between the SCM OMBPs and how these processes optimize supply chain management.

Thema 6

OMBPs for Supply Chain Planning: This section assesses the knowledge of Supply Chain Planners in managing planning modules within Oracle SCM. It explains process flows, integration points, and how different planning modules work together. Candidates will learn about best practices for designing efficient planning workflows and key metrics used to measure supply chain responsiveness and effectiveness.

Thema 7

OMBPs for Manufacturing: This section measures the skills of Manufacturing Operations Managers in utilizing Oracle Cloud’s manufacturing capabilities. It explains the flow of manufacturing processes, module integration, and best practices that enhance operational efficiency. Candidates will analyze metrics that assess productivity, cost control, and overall manufacturing performance.

Thema 8

OMBPs for Order Management: This section evaluates the proficiency of Order Fulfillment Analysts in managing Oracle Cloud’s order management modules. It covers the process flow and integration of different components to streamline order processing. Candidates will study key design considerations and metrics related to customer satisfaction, order fulfillment efficiency, and accuracy in managing customer demand.

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Oracle Fusion Cloud Applications SCM Foundations Associate - Rel 1 1Z0-1163-1 Prüfungsfragen mit Lösungen (Q51-Q56):

51. Frage
What is the primary purpose of the Predict Demand process in Oracle Fusion Cloud SCM?

A. It eliminates the need for supplier collaboration.
B. It guarantees same-day delivery for all orders.
C. It uses machine learning and statistical forecasting to predict demand.
D. It focuses only on local inventory availability.

Antwort: C

Begründung:
The Predict Demand process (B) in Oracle Fusion Cloud SCM aims to forecast customer demand using advanced tools like machine learning and statistical forecasting. Machine learning analyzes historical sales, market trends, and external factors (e.g., weather or economic indicators) to predict future demand with high accuracy, while statistical forecasting provides a baseline using mathematical models like moving averages. For example, it might predict a 20% increase in demand for air conditioners in summer based on past patterns. Option A is incorrect-demand prediction isn't limited to local inventory but informs broader supply planning. Option C is false; supplier collaboration remains essential to fulfill predicted demand. Option D is unrealistic-Predict Demand focuses on forecasting, not delivery guarantees. This process ensures businesses can proactively adjust inventory and production, reducing costs and improving service levels.

52. Frage
What is the purpose of the Available to Promise (ATP) process in Oracle Fusion Cloud SCM?

A. It guarantees immediate product shipment for all orders.
B. It manages only supplier payments without impacting inventory levels.
C. It ensures product availability commitments based on inventory and supply constraints.

Antwort: C

Begründung:
The Available to Promise (ATP) process in Oracle Fusion Cloud SCM is designed to determine product availability and provide realistic commitments to customers based on current inventory levels and supply constraints, such as production capacity and supplier lead times. ATP calculates how much stock is "available to promise" for new orders by subtracting existing commitments from on-hand inventory and factoring in planned supply. For example, if a warehouse has 50 units of a product, with 20 already allocated to prior orders, ATP shows 30 units available for new promises. Option B is incorrect because ATP has no direct role in managing supplier payments-it focuses on inventory and supply planning. Option C is false as ATP does not guarantee immediate shipment; it provides feasible dates based on availability, not an unrealistic promise of instant delivery. This process supports accurate order promising, prevents stockouts, and aligns customer expectations with operational reality, making it a cornerstone of effective supply chain management.

53. Frage
What is a key feature of the Supply Chain Orchestration process in Oracle Fusion Cloud SCM?

A. It provides a manual approach to tracking supply chain transactions.
B. It only manages warehouse operations without linking to procurement or manufacturing.
C. It automates the execution of supply chain tasks across different applications, ensuring end-to-end process integration.

Antwort: C

Begründung:
The Supply Chain Orchestration (SCO) process in Oracle Fusion Cloud SCM is a pivotal feature that automates the execution of supply chain tasks across multiple applications, including procurement, manufacturing, and inventory management. It ensures seamless end-to-end process integration by coordinating activities like order fulfillment, material transfers, and production scheduling. Option A is incorrect because SCO extends beyond warehouse operations to integrate with procurement and manufacturing. Option C is also inaccurate as SCO eliminates manual tracking by leveraging automation, improving efficiency and visibility across the supply chain. This capability reduces delays and enhances coordination, aligning with Oracle's goal of a connected supply chain ecosystem.

54. Frage
Which two capabilities within the Predict Demand process in the Demand to Management OMBP make it a powerful tool for demand planning and management?

A. Statistical Forecasting.
B. Demand Sensing.
C. Machine Learning-based Forecasting.
D. Collaborative Forecasting Platform.

Antwort: C,D

Begründung:
The Predict Demand process within the Demand to Management OMBP in Oracle Fusion Cloud SCM leverages advanced capabilities to enhance demand planning. Collaborative Forecasting Platform (A) enables stakeholders-such as sales teams, suppliers, and distributors-to collaborate in real time, inputting qualitative insights (e.g., market trends or promotions) that refine forecasts beyond pure data analysis. For example, a retailer might adjust forecasts based on an upcoming sale confirmed via the platform, improving accuracy. Machine Learning-based Forecasting (B) uses algorithms to analyze historical data, detect patterns (e.g., seasonality or anomalies), and adapt predictions dynamically, making it more precise than traditional methods. For instance, it might identify a spike in demand for umbrellas during unexpected rainy seasons. Option C (Statistical Forecasting) is a traditional method relying on statistical models but lacks the adaptive intelligence of machine learning, though it's still used as a foundation. Option D (Demand Sensing) focuses on short-term demand signals (e.g., point-of-sale data) rather than long-term planning, making it complementary but not a core strength of Predict Demand. Together, A and B empower businesses with both human collaboration and cutting-edge AI, ensuring robust demand planning that balances quantitative and qualitative inputs.

55. Frage
What is the function of Receipt Accounting in Oracle Fusion Cloud SCM?

A. It records the receipt of goods and services, creating accounting entries for financial reporting.
B. It validates contract terms for procurement.
C. It ensures supplier invoices are paid on time.

Antwort: A

Begründung:
Receipt Accounting in Oracle Fusion Cloud SCM records the receipt of goods and services, generating accounting entries for financial reporting and cost tracking. Option A (timely payments) is a downstream process, not its core function. Option C (contract validation) pertains to procurement, not receipt accounting. This ensures accurate financial records and compliance.

56. Frage
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